Evidence map›Paper›PMID 39777116›Full record

ArticleCancer innovation2025

Identification of significant single-nucleotide polymorphisms associated with breast cancer recurrence and metastasis using GWAS.

Shujuan Sun, Sha Yin, Jie Huang, Dongdong Zhou, Qiaorui Tan, Xiaochu Man, Wen Wang, Jiale Zhang, Huihui Li

Abstract read
In one paragraph

Article in Cancer innovation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shujuan SunDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.ORCID 0000-0003-4160-7784
Sha YinDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Jie HuangDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Dongdong ZhouDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Qiaorui TanDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Xiaochu ManDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Wen WangDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Jiale ZhangDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.
Huihui LiDepartment of Breast Medical Oncology Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences Jinan Shandong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Identification of risk genes and loci associated with the recurrence and metastasis of breast cancer (BC) is of utmost importance. Genome-wide association studies (GWASs) represent valuable tools for identifying the disease risk associated with a given single-nucleotide polymorphism (SNP); they offer significant insights into the disease progression mechanism by analyzing SNP information of the entire genome. Though GWAS has already identified several genetic susceptibility SNPs for BC, their significance in the recurrence and metastasis of this cancer remains unclear. Here, we used a GWAS approach to identify SNPs specifically associated with the risk of BC recurrence and metastasis. Methods: This study adopted a two-stage GWAS approach. In the first stage, 97 pairs of BC patients with or without recurrence and metastasis, treated at the Shandong Cancer Hospital and Institute from November 2013 to April 2014, were identified using propensity score matching. DNA extracted from the patient peripheral blood was then subjected to Illumina ASA chip analysis for genome-wide SNP detection. In the second stage, the findings were verified in a validation set of 854 BC patients recruited at the same hospital from May 2014 to June 2015. SNP genotyping was performed using time-of-flight mass spectrometry. The SNP loci and their corresponding genes and pathways were analyzed using the DAVID (https://david.ncifcrf.gov/) online enrichment analysis tool. Results: Based on the GWAS results, 191 SNP-related genes significantly associated with BC recurrence and metastasis were identified as expression quantitivative trait loci ( Conclusion: Our study suggests that the SNPs rs10108514, rs12920540, rs4273077, and rs4730155 are correlated with the risk of BC recurrence and metastasis, potentially by being implicated in glutamatergic synaptic transmission, calcium signaling, and insulin secretion pathways.

Indexed as

breast cancermetastasisrecurrencesingle‐nucleotide polymorphisms

Identifiers

PMID39777116
PMCPMC11705446

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